Srinikesh L

Aspiring Software Engineer

Salem, India 0+ yrs exp 81 · Excellent

About

Aspiring Software Engineer with a strong foundation in Java, Python, SQL, OOP, DSA, REST APIs, and full-stack development, with hands-on experience in software automation and application development through internships and projects. Seeking to contribute to scalable software solutions in a dynamic development environment.

Skills & Expertise (27)

Python Intermediate

7.5/10

0.5

Years Exp

SQL Intermediate

5.5/10

0.5

Years Exp

Streamlit Intermediate

5.0/10

0.5

Years Exp

GitHub Intermediate

5.0/10

0.5

Years Exp

Git Intermediate

5.0/10

0.5

Years Exp

HTML Intermediate

5.0/10

0.5

Years Exp

CSS Intermediate

5.0/10

0.5

Years Exp

JavaScript Intermediate

4.5/10

0.5

Years Exp

MySql Intermediate

4.0/10

0.5

Years Exp

YOLOv8 Intermediate

4.0/10

0.5

Years Exp

OpenCV Intermediate

4.0/10

0.5

Years Exp

Postman Intermediate

4.0/10

0.5

Years Exp

Gitlab Intermediate

4.0/10

0.5

Years Exp

SQLite Intermediate

4.0/10

0.5

Years Exp

MongoDb Intermediate

4.0/10

0.5

Years Exp

Node.js Intermediate

4.0/10

0.5

Years Exp

React.js Intermediate

4.0/10

0.5

Years Exp

Object-Oriented Programming Intermediate

4.0/10

0.5

Years Exp

Data Structures and Algorithms Intermediate

4.0/10

0.5

Years Exp

Java Beginner

3.5/10

0.5

Years Exp

Firebase Beginner

3.5/10

0.5

Years Exp

Express.js Beginner

3.5/10

0.5

Years Exp

Stripe Beginner

3.5/10

0.5

Years Exp

Jira JWT Authentication Vite REST APIs

Work Experience

Data Engineering Intern

Nasdaq

Jan 2026 - Jun 2026

Automated onboarding effort estimation for Nasdaq Data Link datasets using Python and GitHub Copilot Agents, accelerating assessment workflows and reducing manual planning effort. Built a historical data quality framework for Trino datasets using Databricks Asset Bundles (DABs), automating validation checks for primary key integrity, null values, uniqueness constraints, and record counts while generating comprehensive audit trails, eliminating hours of repetitive manual QA efforts. Designed and implemented automated data quality frameworks for production ELT pipelines using Databricks DQX, enabling primary key, uniqueness, date field, and partition column validations alongside remediation and quarantine workflows, improving data integrity, reducing manual intervention, and accelerating defect resolution.

Artificial Intelligence Intern

Infosys Springboard

Oct 2024 - Dec 2024

Developed an AI-powered financial document analysis platform using LLaMA 3.2 Vision, automating information extraction, structuring, and analysis from financial documents. Built a multimodal document intelligence application using Python and Streamlit, enabling natural-language querying, automated reporting, and interactive financial visualizations.